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Smaller, faster, safer: running Kimi and GLM at scale

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Workers AI optimizes inference for large language models like Kimi K-series and GLM by quantizing KV caches to 8-bit precision, compressing model weights to 4-bit integers, and implementing cache integrity checks. These techniques enhance memory efficiency and performance without compromising accuracy, enabling support for more customers at lower costs.

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